Triple

T5741241
Position Surface form Disambiguated ID Type / Status
Subject Something Borrowed E126618 entity
Predicate director P255 FINISHED
Object Luke Greenfield
Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
 E555584 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Luke Greenfield | Statement: [Something Borrowed, director, Luke Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luke Greenfield
Context triple: [Something Borrowed, director, Luke Greenfield]
  • A. Devlin Elliott
    Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
  • B. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • C. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • D. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • E. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luke Greenfield
Triple: [Something Borrowed, director, Luke Greenfield]
Generated description
Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luke Greenfield
Target entity description: Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
  • A. Devlin Elliott
    Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
  • B. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • C. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • D. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • E. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf9968d881908ef4065d1d13b2b8 completed March 23, 2026, 4:20 a.m.
NEDg Description generation batch_69c0c0ca548c81908382dbba5f440847 completed March 23, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0c19e5ef08190abe26030e24b4d91 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 3:48 p.m.